AUDIOBOOK
About
This audiobook is narrated by an AI Voice. AI Implementation Blind Spots is a practical field manual for leaders, consultants, AI strategists, operators, IT teams, cybersecurity professionals, finance leaders, and business decision-makers who need AI adoption to work inside real organizations.
The book argues that AI does not create business value merely because it produces output faster. AI creates value when it improves real workflows, real decisions, real ownership, real evidence, real economics, and real risk control.
Nikolay Gul explains why many AI initiatives look successful during demos and pilots but struggle when they reach production. The book introduces practical concepts such as the Velocity Trap, AI Theater, the Rework Tax, the Shadow Ledger, Decision Architecture, evidence packs, decision boundaries, and scale-or-stop discipline.
This audiobook is designed for listeners who want clear, realistic, business-first AI guidance without hype. It shows how to connect AI tools to workflows, accountability, measurable outcomes, and implementation discipline.
The book argues that AI does not create business value merely because it produces output faster. AI creates value when it improves real workflows, real decisions, real ownership, real evidence, real economics, and real risk control.
Nikolay Gul explains why many AI initiatives look successful during demos and pilots but struggle when they reach production. The book introduces practical concepts such as the Velocity Trap, AI Theater, the Rework Tax, the Shadow Ledger, Decision Architecture, evidence packs, decision boundaries, and scale-or-stop discipline.
This audiobook is designed for listeners who want clear, realistic, business-first AI guidance without hype. It shows how to connect AI tools to workflows, accountability, measurable outcomes, and implementation discipline.